Ligue Canadienne de Hockey Simulé

Red Wings
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Centre de jeu
	Rangers 10-9-0, 20pts	5	FINAL	1	Red Wings 2-4-0, 4pts

Team Stats
L1	Streak	L3
5-4-0	Home Record	1-2-0
5-5-0	Away Record	1-2-0
4-3-3	Last 10 Games	2-3-1
3.84	Goals Per Game	3.00
3.42	Goals Against Per Game	4.50
23.94%	Power Play Percentage	12.50%
82.05%	Penalty Kill Percentage	85.71%

Red Wings
2-4-0, 4pts

FINAL

Rangers
10-9-0, 20pts

Team Stats
L3	Streak	L1
1-2-0	Home Record	5-4-0
1-2-0	Away Record	5-5-0
2-3-1	Last 10 Games	4-3-3
3.00	Goals Per Game	3.84
4.50	Goals Against Per Game	3.42
12.50%	Power Play Percentage	23.94%
85.71%	Penalty Kill Percentage	82.05%

Meneurs d'équipe




	Victoires Jeff Glass 2	Pourcentage d’arrêts Jeff Glass 0.879

Statistiques d’équipe
Buts pour 18 3.00 GFG	Tirs pour 187 31.17 Avg	Pourcentage en avantage numérique 12.5% 2 GF	Début de zone offensive 36.0%
Buts contre 27 4.50 GAA	Tirs contre 207 34.50 Avg	Pourcentage en désavantage numérique 85.7% 4 GA	Début de la zone défensive 39.8%

Information d’équipe
	Directeur général	Martin Dufour
	Entraîneur	Dallas Eakins
	Division	Atlantique
	Conférence	Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	2,700
	Billets de saison	2,400
Information formation
	Équipe Pro	34
	Équipe Mineure	19
	Limite contact	53 / 60
	Espoirs	44

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Justin Fontaine (R)			X		100.00	62	49	57	68	70	69	74	99	69	99	89	69	68	86	78	12	64	77	0	33	1	1,000,000$
2	Alexander Kerfoot (R)	X				100.00	67	48	71	78	69	81	94	92	75	88	81	81	64	57	56	44	69	76	0	26	1	1,137,500$
3	Ryan Hartman (R)			X		100.00	81	53	61	74	72	81	93	89	72	86	90	74	56	70	59	73	67	76	0	26	2	1,500,000$
4	Brady Tkachuk (R)		X			100.00	96	67	61	77	89	83	86	82	68	80	79	70	77	61	64	89	74	74	0	21	2	925,000$
5	Kyle Clifford (R)		X			100.00	74	56	69	67	78	75	85	78	63	71	70	83	65	88	82	46	68	72	0	30	1	900,000$
6	Nick Suzuki (R)	X				100.00	69	39	88	74	72	82	90	80	80	82	71	69	73	61	64	85	74	72	0	21	3	863,333$
7	Oskar Lindblom (R)		X			100.00	70	38	87	72	76	77	80	78	55	73	76	76	72	67	64	56	72	71	0	24	1	1,137,500$
8	Teddy Blueger (R)	X				100.00	80	45	82	66	71	78	77	71	81	71	68	91	64	71	68	66	75	71	0	26	2	650,000$
9	Tomas Nosek (R)		X			100.00	79	39	86	65	81	72	83	71	76	72	65	83	65	75	69	36	75	70	0	28	3	600,000$
10	Logan Brown (R)	X				100.00	71	49	85	65	96	80	82	70	78	72	65	74	65	63	62	85	71	68	0	23	1	1,604,170$
11	John Hayden (R)			X		100.00	84	66	62	64	86	75	78	70	76	66	65	70	59	69	66	63	74	67	0	26	3	575,000$
12	Kevin Roy (R)			X		100.00	53	42	79	72	66	67	99	71	49	69	67	68	51	72	56	55	72	66	0	28	1	875,000$
13	Jarred Tinordi (R)				X	100.00	74	57	79	59	98	82	74	75	30	68	60	89	48	75	71	68	74	73	0	29	2	1,000,000$
14	Will Butcher (R)				X	100.00	61	35	78	69	71	83	91	88	30	88	72	74	61	60	56	53	74	71	0	26	1	2,775,000$
15	Madison Bowey (R)				X	100.00	78	47	72	67	81	83	78	73	30	78	61	75	51	69	64	71	68	70	0	26	1	925,000$
16	Nicolas Hague (R)				X	100.00	73	48	86	64	97	81	74	69	30	69	61	71	54	63	68	77	69	69	0	22	3	791,667$
17	Taylor Chorney (R)				X	100.00	55	35	89	67	73	69	62	77	30	68	68	80	58	81	60	53	37	67	0	34	1	600,000$
18	Urho Vaakanainen (R)				X	100.00	63	42	87	61	74	79	72	66	30	66	61	72	53	62	63	83	29	65	0	22	2	925,000$
Rayé
1	Jason Robertson (R)		X			100.00	66	46	90	66	85	79	74	70	56	67	64	71	63	61	62	76	20	66	0	21	3	795,000$
2	Scott Wilson (R)		X			100.00	56	42	90	63	71	72	74	69	53	70	64	71	62	75	68	52	19	65	0	29	2	575,000$
3	Ryan MacInnis (R)	X				100.00	64	46	89	61	86	75	73	69	68	67	62	70	61	67	64	72	20	65	0	25	3	874,125$
4	Ryan Poehling (R)	X				100.00	71	42	89	63	81	74	72	69	76	65	61	71	59	61	64	82	20	64	0	22	2	925,000$
5	Par Lindholm (R)		X			100.00	59	39	89	60	71	69	63	65	76	62	62	87	58	77	67	36	20	64	0	29	1	850,000$
6	Joseph Gambardella (R)	X				100.00	61	35	73	65	72	64	57	71	65	73	63	72	51	64	52	40	19	63	0	27	2	725,000$
7	Zach Senyshyn (R)			X		100.00	61	42	89	61	76	77	72	69	53	65	63	65	62	65	66	83	20	63	0	24	2	863,333$
8	Connor Bunnaman (R)	X				100.00	63	43	87	60	79	78	77	65	56	63	62	68	58	63	62	61	20	63	0	23	3	736,666$
9	Eetu Luostarinen (R)	X				100.00	62	44	89	61	80	75	72	66	64	66	61	64	59	63	62	74	19	63	0	22	3	897,500$
10	Logan O'Connor (R)			X		100.00	57	43	89	62	69	77	78	68	54	65	63	65	62	67	63	56	20	63	0	24	3	725,000$
11	Tyler Wotherspoon (R)				X	100.00	62	29	99	61	78	59	67	82	25	71	53	82	54	82	77	57	20	68	0	28	3	575,000$
12	Sami Niku (R)				X	100.00	58	42	88	66	73	75	69	71	30	71	61	70	54	67	64	56	11	65	0	24	2	775,000$
13	Guillaume Brisebois (R)				X	100.00	51	35	70	59	71	44	54	66	30	60	57	61	52	53	53	64	20	56	0	23	2	697,500$

	MOYENNE D’ÉQUIPE					100.00	67	45	81	66	78	75	77	74	56	72	67	74	60	68	64	62	47	68

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jeff Glass (R)	100.00	79	81	90	82	85	94	86	86	86	77	51	82	72	30	37	82	0
2	Dustin Tokarski (R)	100.00	71	78	73	79	76	90	89	84	86	75	77	86	85	55	75	79	0
Rayé
1	Justin Peters	100.00	68	76	78	82	77	94	94	96	96	81	86	99	99	26	20	84	0

	MOYENNE D’ÉQUIPE	100.00	73	78	80	81	79	93	90	89	89	78	71	89	85	37	44	82

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dallas Eakins	81	65	71	82	79	73	70	USA	53	2	900,000$

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	HT	P/20	FL	FT	S1	S2	S3
1	Ryan Hartman	Red Wings (DET)	RW	6	6	2	8	-1	22	10	12	11	25	7	10	24.00%	4	110	18.40	1	1	2	4	12	0	17	0	33.33%	9	2	2	1	1.45	1	1	1	0	0
2	Alexander Kerfoot	Red Wings (DET)	C	6	4	2	6	2	2	0	6	5	26	5	9	15.38%	3	111	18.65	0	0	0	1	15	0	17	1	48.60%	107	2	1	0	1.07	0	0	0	0	1
3	Oskar Lindblom	Red Wings (DET)	LW	6	1	3	4	-5	0	0	2	6	16	4	10	6.25%	4	97	16.31	0	0	0	0	0	2	12	0	12.50%	8	5	1	0	0.82	0	0	1	0	0
4	Kyle Clifford	Red Wings (DET)	LW	6	1	3	4	-1	0	0	6	3	8	2	3	12.50%	0	92	15.38	0	1	1	1	12	0	2	0	40.00%	5	0	0	0	0.87	0	0	0	0	0
5	John Hayden	Red Wings (DET)	RW	6	1	3	4	-5	10	0	8	3	5	2	6	20.00%	1	79	13.31	0	0	0	0	0	0	0	0	50.00%	6	0	2	0	1.00	0	0	0	0	0
6	Nick Suzuki	Red Wings (DET)	C	6	0	4	4	-1	7	5	9	14	7	4	4	0.00%	1	87	14.58	0	2	2	0	11	0	0	0	41.86%	86	4	5	0	0.91	0	1	0	0	1
7	Justin Fontaine	Red Wings (DET)	RW	6	1	2	3	2	10	0	18	10	17	2	10	5.88%	2	117	19.63	0	0	0	1	15	1	22	0	54.55%	33	3	3	0	0.51	0	0	0	0	0
8	Brady Tkachuk	Red Wings (DET)	LW	6	1	2	3	2	8	0	20	4	5	2	2	20.00%	1	102	17.02	0	0	0	0	15	1	7	0	33.33%	9	1	1	0	0.59	0	0	0	0	0
9	Will Butcher	Red Wings (DET)	D	6	1	1	2	-3	0	0	7	7	12	4	1	8.33%	11	142	23.68	1	0	1	2	18	0	26	1	0.00%	0	3	5	0	0.28	0	0	0	1	0
10	Jarred Tinordi	Red Wings (DET)	D	6	0	2	2	-3	2	0	7	11	7	0	2	0.00%	9	140	23.40	0	0	0	2	18	0	25	0	0.00%	0	0	3	0	0.28	0	0	0	0	0
11	Teddy Blueger	Red Wings (DET)	C	6	2	0	2	-5	7	5	7	11	12	7	6	16.67%	3	95	15.86	0	0	0	0	0	0	14	0	37.50%	104	1	0	0	0.42	0	1	0	0	1
12	Taylor Chorney	Red Wings (DET)	D	6	0	1	1	6	2	0	5	5	6	6	2	0.00%	4	92	15.33	0	0	0	0	0	0	1	0	0.00%	0	3	2	0	0.22	0	0	0	0	0
13	Urho Vaakanainen	Red Wings (DET)	D	6	0	1	1	6	0	0	5	7	8	1	1	0.00%	2	93	15.54	0	0	0	0	0	0	2	0	0.00%	0	0	3	0	0.21	0	0	0	0	0
14	Madison Bowey	Red Wings (DET)	D	6	0	0	0	-10	4	0	9	10	9	2	2	0.00%	10	126	21.03	0	0	0	0	9	1	18	0	0.00%	0	0	7	0	0.00	0	0	0	0	0
15	Logan Brown	Red Wings (DET)	C	6	0	0	0	-3	0	0	5	4	6	3	2	0.00%	1	44	7.49	0	0	0	0	0	0	0	0	37.50%	24	1	1	0	0.00	0	0	0	0	0
16	Kevin Roy	Red Wings (DET)	RW	6	0	0	0	-3	0	0	1	2	9	8	6	0.00%	0	44	7.43	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0
17	Tomas Nosek	Red Wings (DET)	LW	6	0	0	0	-3	0	0	5	3	6	4	5	0.00%	0	47	7.95	0	0	0	0	0	0	0	0	50.00%	8	0	2	0	0.00	0	0	0	0	0
18	Nicolas Hague	Red Wings (DET)	D	6	0	0	0	-10	0	0	10	10	3	2	2	0.00%	2	127	21.20	0	0	0	0	9	0	19	0	0.00%	0	2	3	0	0.00	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				108	18	26	44	-35	74	20	142	126	187	65	83	9.63%	58	1753	16.23	2	4	6	11	141	5	188	2	42.50%	400	27	41	1	0.50	1	3	2	1	3

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	ST	BG
1	Jeff Glass	Red Wings (DET)	5	2	2	1	0.879	4.20	300	2	21	174	83	5	1
2	Dustin Tokarski	Red Wings (DET)	1	0	1	0	0.818	6.00	60	0	6	33	11	1	5
Statistiques d’équipe totales ou en moyenne			6	2	3	1	0.870	4.50	360	2	27	207	94	6	6

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Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3
Alexander Kerfoot	Red Wings (DET)	C	26	1994-08-11 11:02:39	Yes	175 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,137,500$	0$	0$	No
Brady Tkachuk	Red Wings (DET)	LW	21	1999-09-16 14:34:31	Yes	196 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Connor Bunnaman	Red Wings (DET)	C	23	1998-04-16 13:28:38	Yes	207 Lbs	6 ft1	No	No	No	3	Pro & Farm	736,666$	0$	0$	No	736,666$	736,666$
Dustin Tokarski	Red Wings (DET)	G	31	1989-09-16 11:11:14	Yes	201 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Eetu Luostarinen	Red Wings (DET)	C	22	1998-09-02 13:31:44	Yes	179 Lbs	6 ft3	No	No	No	3	Pro & Farm	897,500$	0$	0$	No	897,500$	897,500$
Guillaume Brisebois	Red Wings (DET)	D	23	1997-07-21 14:26:41	Yes	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	697,500$	0$	0$	No	697,500$
Jarred Tinordi	Red Wings (DET)	D	29	1992-02-20 05:11:13	Yes	216 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$
Jason Robertson	Red Wings (DET)	LW	21	1999-07-22 13:34:16	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	795,000$	0$	0$	No	795,000$	795,000$
Jeff Glass	Red Wings (DET)	G	35	1985-11-19 07:12:32	Yes	206 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
John Hayden	Red Wings (DET)	RW	26	1995-02-14 11:00:55	Yes	215 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Joseph Gambardella	Red Wings (DET)	C	27	1993-12-01 08:29:15	Yes	196 Lbs	5 ft10	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$
Justin Fontaine	Red Wings (DET)	RW	33	1987-11-06 23:11:13	Yes	183 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Justin Peters	Red Wings (DET)	G	34	1986-08-30 17:11:14	No	214 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$
Kevin Roy	Red Wings (DET)	RW	28	1993-05-20 09:32:15	Yes	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	875,000$	0$	0$	No
Kyle Clifford	Red Wings (DET)	LW	30	1991-01-13 11:11:13	Yes	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Logan Brown	Red Wings (DET)	C	23	1998-03-05 09:29:54	Yes	220 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,604,170$	0$	0$	No
Logan O'Connor	Red Wings (DET)	RW	24	1996-08-14 12:23:27	Yes	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	725,000$	0$	0$	No	725,000$	725,000$
Madison Bowey	Red Wings (DET)	D	26	1995-04-22 09:27:31	Yes	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Nick Suzuki	Red Wings (DET)	C	21	1999-08-10 13:42:46	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$
Nicolas Hague	Red Wings (DET)	D	22	1998-12-05 13:40:06	Yes	214 Lbs	6 ft6	No	No	No	3	Pro & Farm	791,667$	0$	0$	No	791,667$	791,667$
Oskar Lindblom	Red Wings (DET)	LW	24	1996-08-15 11:12:26	Yes	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,137,500$	0$	0$	No
Par Lindholm	Red Wings (DET)	LW	29	1991-10-05 04:11:59	Yes	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	850,000$	0$	0$	No
Ryan Hartman	Red Wings (DET)	RW	26	1994-09-20 17:11:13	Yes	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$
Ryan MacInnis	Red Wings (DET)	C	25	1996-02-14 13:37:44	Yes	185 Lbs	6 ft3	No	No	No	3	Pro & Farm	874,125$	0$	0$	No	874,125$	874,125$
Ryan Poehling	Red Wings (DET)	C	22	1999-01-03 14:22:24	Yes	183 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Sami Niku	Red Wings (DET)	D	24	1996-10-10 05:12:25	Yes	176 Lbs	6 ft1	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$
Scott Wilson	Red Wings (DET)	LW	29	1992-04-24 05:11:13	Yes	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Taylor Chorney	Red Wings (DET)	D	34	1987-04-27 23:11:13	Yes	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Teddy Blueger	Red Wings (DET)	C	26	1994-08-15 14:16:07	Yes	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$
Tomas Nosek	Red Wings (DET)	LW	28	1992-09-01 11:05:59	Yes	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$
Tyler Wotherspoon	Red Wings (DET)	D	28	1993-03-12 11:11:13	Yes	217 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$
Urho Vaakanainen	Red Wings (DET)	D	22	1999-01-01 14:29:18	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Will Butcher	Red Wings (DET)	D	26	1995-01-06 11:14:31	Yes	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,775,000$	0$	0$	No
Zach Senyshyn	Red Wings (DET)	RW	24	1997-03-30 14:24:49	Yes	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
34	26.24	194 Lbs	6 ft1	1.97	929,362$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Alexander Kerfoot	Justin Fontaine	30	1	2	2
2	Kyle Clifford	Nick Suzuki	Ryan Hartman	30	1	2	2
3	Oskar Lindblom	Teddy Blueger	John Hayden	30	1	2	2
4	Tomas Nosek	Logan Brown	Kevin Roy	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jarred Tinordi	Will Butcher	34	1	2	2
2	Madison Bowey	Nicolas Hague	34	1	2	2
3	Taylor Chorney	Urho Vaakanainen	32	1	2	2
4	Jarred Tinordi	Will Butcher	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brady Tkachuk	Alexander Kerfoot	Justin Fontaine	60	1	2	2
2	Kyle Clifford	Nick Suzuki	Ryan Hartman	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jarred Tinordi	Will Butcher	60	1	2	2
2	Madison Bowey	Nicolas Hague	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Justin Fontaine	Ryan Hartman	60	1	2	2
2	Alexander Kerfoot	Brady Tkachuk	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jarred Tinordi	Will Butcher	60	1	2	2
2	Madison Bowey	Nicolas Hague	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Justin Fontaine	60	1	2	2	Jarred Tinordi	Will Butcher	60	1	2	2
2	Ryan Hartman	40	1	2	2	Madison Bowey	Nicolas Hague	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Justin Fontaine	Ryan Hartman	60	1	2	2
2	Alexander Kerfoot	Brady Tkachuk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jarred Tinordi	Will Butcher	60	1	2	2
2	Madison Bowey	Nicolas Hague	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brady Tkachuk	Alexander Kerfoot	Justin Fontaine	Jarred Tinordi	Will Butcher

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brady Tkachuk	Alexander Kerfoot	Justin Fontaine	Jarred Tinordi	Will Butcher

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Oskar Lindblom, Tomas Nosek, Teddy Blueger	Oskar Lindblom, Tomas Nosek	Teddy Blueger

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Taylor Chorney, Urho Vaakanainen, Madison Bowey	Taylor Chorney	Urho Vaakanainen, Madison Bowey

Tirs de pénalité
Justin Fontaine, Ryan Hartman, Alexander Kerfoot, Brady Tkachuk, Kyle Clifford

Gardien
#1 : Dustin Tokarski, #2 : Jeff Glass

Lignes d’attaque personnalisées en prolongation
Justin Fontaine, Ryan Hartman, Alexander Kerfoot, Brady Tkachuk, Kyle Clifford, Nick Suzuki, Nick Suzuki, Oskar Lindblom, Tomas Nosek, Teddy Blueger, Logan Brown

Lignes de défense personnalisées en prolongation
Jarred Tinordi, Will Butcher, Madison Bowey, Nicolas Hague, Taylor Chorney

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Rangers	6	2	4	0	0	0	0	0	18	27	-9	3	1	2	0	0	0	0	0	12	16	-4	3	1	2	0	0	0	0	0	6	11	-5	4	0.333	18	26	44	0	0	5	7	6	0	187	64	66	56	1	207	58	76	142	16	2	12.50%	28	4	85.71%	0	59	144	40.97%	73	159	45.91%	38	97	39.18%	121	68	136	54	102	48
	Total	6	2	4	0	0	0	0	0	18	27	-9	3	1	2	0	0	0	0	0	12	16	-4	3	1	2	0	0	0	0	0	6	11	-5	4	0.333	18	26	44	0	0	5	7	6	0	187	64	66	56	1	207	58	76	142	16	2	12.50%	28	4	85.71%	0	59	144	40.97%	73	159	45.91%	38	97	39.18%	121	68	136	54	102	48
	_Since Last GM Reset	6	2	4	0	0	0	0	0	18	27	-9	3	1	2	0	0	0	0	0	12	16	-4	3	1	2	0	0	0	0	0	6	11	-5	4	0.333	18	26	44	0	0	5	7	6	0	187	64	66	56	1	207	58	76	142	16	2	12.50%	28	4	85.71%	0	59	144	40.97%	73	159	45.91%	38	97	39.18%	121	68	136	54	102	48
	_Vs Conference	6	2	4	0	0	0	0	0	18	27	-9	3	1	2	0	0	0	0	0	12	16	-4	3	1	2	0	0	0	0	0	6	11	-5	4	0.333	18	26	44	0	0	5	7	6	0	187	64	66	56	1	207	58	76	142	16	2	12.50%	28	4	85.71%	0	59	144	40.97%	73	159	45.91%	38	97	39.18%	121	68	136	54	102	48

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
6	4	L3	18	26	44	187	207	58	76	142	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	18	27

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	12	16

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	11

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	3	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
16	2	12.50%	28	4	85.71%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
64	66	56	1	5	7	6	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
59	144	40.97%	73	159	45.91%	38	97	39.18%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
121	68	136	54	102	48

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	Lien
1 - 2020-12-17	1	Rangers	6	Red Wings	7	W		Sommaire du match
3 - 2020-12-19	9	Rangers	5	Red Wings	4	L	X	Sommaire du match
5 - 2020-12-21	17	Red Wings	4	Rangers	2	W		Sommaire du match
7 - 2020-12-23	25	Red Wings	1	Rangers	3	L		Sommaire du match
9 - 2020-12-25	33	Rangers	5	Red Wings	1	L		Sommaire du match
11 - 2020-12-27	41	Red Wings	1	Rangers	6	L		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	45	25
Assistance	5,100	3,000
Assistance PCT	85.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
38	2700 - 90.00%	137,025$	411,076$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs
0$	3,159,830$	2,504,830$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

	Red Wings
	GP: 6 \| W: 2 \| L: 4 GF: 18 \| GA: 27 \| PP%: 12.50% \| PK%: 85.71% DG: Martin Dufour \| Morale : 19 \| Moyenne d’équipe : 69